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ConcernMorph: metrics-based detection of crosscutting patterns

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Publication date2009
Host publicationProceedings of the the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering
Place of PublicationNew York, NY, USA
Number of pages2
ISBN (print)978-1-60558-001-2
<mark>Original language</mark>English


Crosscutting concerns can hinder maintainability of a design because they do not adhere to a system's underlying modular structure. Developers, therefore, may wish to refactor designs to improve modularisation or to implement crosscutting concerns as aspects. However, few tools currently exist that assist developers in detecting and classifying crosscutting concerns in their code. Classification is important because, as recent studies have shown, crosscutting concerns are not always harmful. This paper describes a tool, ConcernMorph, for identifying crosscutting concerns and classifying them into one of a number of predefined crosscutting patterns.